Triple

T6234468
Position Surface form Disambiguated ID Type / Status
Subject Woman Holding a Balance E139438 entity
Predicate pictorialTechnique P14965 FINISHED
Object chiaroscuro LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: chiaroscuro | Statement: [Woman Holding a Balance, pictorialTechnique, chiaroscuro]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pictorialTechnique
Context triple: [Woman Holding a Balance, pictorialTechnique, chiaroscuro]
  • A. artisticTechnique chosen
    Indicates the method, style, or process used to create or execute an artistic work.
  • B. artisticDepiction
    Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
  • C. depictionType
    Indicates the specific manner or style in which something is visually represented or depicted.
  • D. artisticCharacteristic
    Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
  • E. artwork
    Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062f103a08190b1fb44234832178e completed March 22, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69c05601de6481909d0880048fd7b49a completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:22 p.m.